Association of Matrix Metalloproteinase1-1607 1G>2G Polymorphism and Lung Cancer Risk: An Update by Meta-Analysis

Document Type : Systematic Review and Meta-analysis


1 Department of Pathophysiology, West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, Sichuan Province, China.

2 Department of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, China.

3 Department of Oncology, Chengdu First People's Hospital, Chengdu 610041, Sichuan Province, China.


Objective: The association between matrix metalloproteinase1 (MMP1)-1607 1G>2G polymorphism and lung cancer
risk is still inconclusive and inconsistent. We conducted a meta-analysis to estimate the potential relationship between
MMP1-1607 1G>2G polymorphism and lung cancer risk. Methods: The comprehensive searches of the PubMed, Web
of Science, Medline, CBM, CNKI, Weipu, and Wanfang databases, published up to Nov 10, 2018. Statistical analyses
were performed with Review Manager 5.3 software. Results: A total of 14 relevant studies containing 6068 cases and
5860 controls were included in the study. The results indicated that MMP1-1607 1G>2G polymorphism was significantly
associated with increased lung cancer risk under four models: 2G vs. 1G model (pooled OR = 1.19, 95% CI = 1.05-1.34,
P < 0.0001); 2G/2G vs. 1G/1G (pooled OR = 1.34, 95% CI = 1.09-1.64, P = 0.003); 2G/2G vs. 1G/1G+1G/2G (pooled
OR = 1.26, 95% CI = 1.06-1.49, P < 0.0001); 2G/2G+1G/2G vs. 1G/1G (pooled OR = 1.21, 95% CI = 1.05-1.40, P
= 0.01). Subgroup analyses showed that there was a higher increase in smoking status under three models: 2G/2G
vs. 1G/1G (pooled OR = 2.07, 95% CI = 1.14-3.77, P = 0.02); 2G/2G vs. 1G/1G+1G/2G (pooled OR = 1.71, 95% CI
= 1.17-2.52, P = 0.006); 2G/2G+1G/2G vs. 1G/1G (pooled OR = 2.03, 95% CI = 1.14-3.62, P = 0.02). In addition,
subgroup analyses by ethnicity further identified the significant association in Asians. Non-smoking population and
ethnicity among Caucasian had no relationship with lung cancer susceptibility in four models. Conclusion: Our study
suggested that MMP1-1607 1G>2G polymorphism was a risk factor for developing lung cancer risk.


Main Subjects